Fisheye image processing method and device, equipment and storage medium

A fisheye image and processing method technology, applied in the field of image processing, can solve the problems of decreased sample utilization rate, impact on driving safety, missing content, etc., to achieve the effect of improving sample utilization rate, increasing the visual range, and improving safety

Active Publication Date: 2019-05-10
ZEBRED NETWORK TECH CO LTD
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Problems solved by technology

[0004] However, since the size of the fisheye image is fixed, the above de-distortion operation will cause the loss of the content at the edge of the fisheye image, reduce the content of the fisheye image, and reduce the sample utilization rate. At the same time, due to the lack of content of the fisheye image, Reduce the visual range of the car, affecting driving safety

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  • Fisheye image processing method and device, equipment and storage medium
  • Fisheye image processing method and device, equipment and storage medium
  • Fisheye image processing method and device, equipment and storage medium

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[0071] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0072] The fisheye image processing method provided by the embodiments of the present invention can be applied to application scenarios where objects in the surrounding environment need to be recognized based on fisheye images, such as vehicle driving scenarios. At present, in the field of assisted driving and automatic driving of smart cars, target detection and recognition methods based on machine learning and deep learning technology are usually used to accu...

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Abstract

The invention provides a fisheye image processing method, a device, equipment and storage medium, the method comprises the following steps of: obtaining a sample; acquiring a fisheye image acquired bya fisheye camera arranged on the vehicle; and according to the fisheye camera imaging model, obtaining a distortion-removed planar image corresponding to the fisheye image, the fisheye camera imagingmodel being obtained according to camera parameters of the fisheye camera, performing view angle transformation on the distortion-removed planar image, and obtaining a plurality of planar images under a plurality of different view angles. Therefore, the sample utilization rate is improved, the visual range of the vehicle is enlarged, objects around the vehicle can be sensed more comprehensively,and the driving safety of the vehicle is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a fisheye image processing method, device, equipment and storage medium. Background technique [0002] In the field of assisted driving and automatic driving of smart cars, target detection and recognition methods based on machine learning and deep learning technology are usually used to accurately detect and recognize targets around the car. Such methods usually require a large number of samples as the basis for learning. Therefore, how to obtain effective image learning samples has become a key problem in solving target detection and recognition. [0003] Due to the characteristics of the fisheye camera, there are serious distortions in the fisheye image. In order to prevent the machine learning algorithm and deep learning algorithm from learning the distortion features in the fisheye image, it is usually necessary to perform a dedistortion operation on the fis...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00G06T7/80
CPCY02T10/40
Inventor 彭惠东洪鹏吴颖谦
Owner ZEBRED NETWORK TECH CO LTD
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